Greetings from CriticalRiver Technologies!

Role: Senior AI / ML Architect

Experience: 10+ Years

Location: Hyderabad (Hybrid)

Notice Period: Immediate to 30 Days Preferred

Hurry up - Interested candidate, please share your updated soft copy of resume to [email protected]

Job Criteria: Mandatory Skills (Non-Negotiable)

LLM Training & Fine-Tuning

- Strong hands-on experience with PyTorch and Hugging Face Transformers
- Proven experience in training and fine-tuning Large Language Models (LLMs) using domain-specific datasets
- Strong expertise in LoRA and QLoRA
- Experience with PEFT, SFT, TRL, Accelerate frameworks
- Hands-on experience with open-source models such as Llama, Qwen, Mistral/Mixtral, Gemma, DeepSeek, or Phi
- Strong understanding of model training, hyperparameter tuning, GPU utilization, model evaluation, and optimization

Cloud Deployment & Model Serving

- Experience deploying and hosting AI/ML models on AWS, Azure, or GCP




- Hands-on experience with Docker and Kubernetes
- Experience working with GPU-based infrastructure
- Experience with model serving frameworks such as vLLM, SGLang, TensorRT-LLM, or TGI
- Ability to design and manage scalable production-grade AI platforms

MLOps & Model Lifecycle Management

- Strong experience implementing end-to-end MLOps pipelines
- Hands-on experience with MLflow, W&B;, CI/CD, Model Registry, Version Control
- Experience in automated training, deployment, monitoring, retraining, and rollback strategies
- Robust understanding of production model monitoring and governance

Good to Have

- Python & SQL
- Spark / Databricks
- LLM Evaluation & LLM-as-Judge
- RAG, Vector Databases, Agentic AI, MCP
- Quantization (GPTQ, AWQ, FP8, BitsAndBytes)
- GPU performance and cost optimization
- Multimodal AI Models

📌 Senior AI / ML Architect (Hyderabad)
🏢 Criticalriver
📍 Hyderabad